• DocumentCode
    1633057
  • Title

    Adaptive steering controller to improve handling stability for driver-combined-vehicles system

  • Author

    Wang, Qiang ; Oya, Masahiro ; Takagi, Natsuki ; Taira, Yuichiro ; Ota, Hidetaka

  • Author_Institution
    Dept. of Syst. Design & Inf., Kyushu Inst. of Technol., Iizuka, Japan
  • fYear
    2009
  • Firstpage
    409
  • Lastpage
    414
  • Abstract
    If the dynamics of combined vehicles such as tractor-semitrailer varies greatly, it may be very difficult for inexperienced drivers to achieve good handling stability. Moreover, once combined vehicles become unstable, it is very difficult for all drivers to stabilize vehicles. However, if the behavior of actual combined vehicles tracks a designed desired combined vehicle, the good handling property can be maintained even when the dynamics of actual combined vehicles varies large. In this paper, to achieve good handling property even for large variation of vehicle dynamics, a design method for a desired combined vehicle is shown, and then, an adaptive steering controller is developed so that the actual vehicle tracks the desired vehicle. The developed adaptive steering controller has strong robustness for the uncertainties of vehicle parameters. Moreover, a driver model is introduced to show the characteristics of driver. Carrying out numerical simulations, it is shown that the developed adaptive steering controller is very useful for the driver-combined-vehicles system.
  • Keywords
    adaptive control; automotive components; steering systems; vehicle dynamics; adaptive steering controller; driver characteristics; driver model; driver-combined-vehicles system; handling stability; numerical simulations; vehicle dynamics; vehicle stabilization; vehicle tracks; Adaptive control; Control systems; Design methodology; Numerical simulation; Programmable control; Robust control; Stability; Uncertainty; Vehicle driving; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4244-4808-1
  • Electronic_ISBN
    978-1-4244-4809-8
  • Type

    conf

  • DOI
    10.1109/CIRA.2009.5423171
  • Filename
    5423171